FJ-215
Regular
Got a link?
BRN Discussion Ongoing
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FJ-215
Regular
I do prefer the golf kind.
Indeed,
Lad opens champagne bottle using golf ball. Via: Josh Kelley Golf | SPORTbible | Facebook https://share.google/nnbEd6UtN2p8lyDRX
Esq.
Lad opens champagne bottle using golf ball. Via: Josh Kelley Golf | SPORTbible | Facebook https://share.google/nnbEd6UtN2p8lyDRX
Esq.
Persistent and disciplined buying of both BRCHF and BCHPY today both closing at their highs.
Over 1.1m shares traded of BRCHF....three times normal volume.
Usually trading in the US is quite haphazard.....not today. Draw your own conclusions after yesterday's ASX trading tsunami....interrupted by ASX functionaries.
Over 1.1m shares traded of BRCHF....three times normal volume.
Usually trading in the US is quite haphazard.....not today. Draw your own conclusions after yesterday's ASX trading tsunami....interrupted by ASX functionaries.
Tothemoon24
Top 20
Traditional LiDAR systems depend on the cloud, creating delays that limit how fast machines can respond. Akida PointNet++ brings AI processing directly to the edge, reducing latency by up to 80% and operating on just a few milliwatts of power.
This means faster perception, safer navigation, and smarter automation for vehicles, drones, robots, and intelligent infrastructure.
With Akida’s efficient on-chip design, devices can interpret complex 3D environments instantly without relying on cloud connectivity.
Learn how BrainChip’s Akida PointNet++ is shaping the future of spatial AI.
https://lnkd.in/gzbyf9Kv
LiDAR Point Cloud_LP
Unleash Real-Time LiDAR Intelligence With On-Chip Point Cloud AI Accelerating LiDAR Point Cloud with BrainChip’s AkidaTM PointNet++ Model. Learn More About LiDAR Intelligence The Essential Role of LiDAR Point Cloud AI For next-generation robotics, automotive systems, and...
brainchip.com
Attachments
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Traditional LiDAR systems depend on the cloud, creating delays that limit how fast machines can respond. Akida PointNet++ brings AI processing directly to the edge, reducing latency by up to 80% and operating on just a few milliwatts of power.
This means faster perception, safer navigation, and smarter automation for vehicles, drones, robots, and intelligent infrastructure.
With Akida’s efficient on-chip design, devices can interpret complex 3D environments instantly without relying on cloud connectivity.
Learn how BrainChip’s Akida PointNet++ is shaping the future of spatial AI.
View attachment 91807
LiDAR Point Cloud_LP
Unleash Real-Time LiDAR Intelligence With On-Chip Point Cloud AI Accelerating LiDAR Point Cloud with BrainChip’s AkidaTM PointNet++ Model. Learn More About LiDAR Intelligence The Essential Role of LiDAR Point Cloud AI For next-generation robotics, automotive systems, and...
Thanks for the post! I also was about to post the same and deleted it…..
I just have one question… When I post something, I usually write one or two sentences about what it’s about and then add the link.
I’ve noticed that you often also take a screenshot of the post’s header with the BrainChip logo, copy and paste the text separately, and then also include the link — all good, of course — but why the screenshot of the header with the BrainChip logo?
Sorry if already posted
“BrainChip experts host an interactive webinar showcasing the benefits of executing AI/ML inference models on BrainChip’s Akida 2 remotely using Akida Cloud.”
brainchip.com
“BrainChip experts host an interactive webinar showcasing the benefits of executing AI/ML inference models on BrainChip’s Akida 2 remotely using Akida Cloud.”
Akida Cloud Webinar
BrainChip experts host an interactive webinar showcasing the benefits of executing AI/ML inference models on BrainChip’s Akida 2 remotely using Akida Cloud. Akida Cloud lets you execute models, assess accuracy, and benchmark Akida hardware performance all from your desktop. Easily evaluate...
brainchip.com
equanimous
Norse clairvoyant shapeshifter goddess
in response to the speeding ticket yesterday Brainchip has decided to go again....
Here is the LinkedIn post regarding Akida…LiDAR
www.linkedin.com
#lidar #edgeai #spatialintelligence #artificialintelligence #3dperception #autonomousvehicles #robotics #semiconductors #machinelearning #akida #brainchip #aiinnovation #edgecomputing… | BrainChip
Traditional LiDAR systems depend on the cloud, creating delays that limit how fast machines can respond. Akida PointNet++ brings AI processing directly to the edge, reducing latency by up to 80% and operating on just a few milliwatts of power. This means faster perception, safer navigation, and...
Bravo
If ARM was an arm, BRN would be its biceps💪!
Just to clarify, BrainChip and Arduino have not formally announced a partnership to date. However there is a connection between Brainchip and Arduino via the Edge Impulse ecosystem.
- In May 2022, BrainChip and Edge Impulse officially announced a partnership to accelerate AI/ML deployments on BrainChip’s Akida platform.
- In October 2022, Arduino and Edge Impulse announced a white-label partnership, integrating Edge Impulse Studio directly into Arduino’s online tools.
"This project leverages the Brainchip Akida Neuromorphic Hardware Accelerator to propose an innovative solution to home automation. It can be optimized to work as a daily used gadget that may be at everyone's house in the near future.”
Fast-forward to today and Qualcomm has now acquired both Arduino (this week) and Edge Impulse (earlier this year), bringing them under the same umbrella.
I believe this creates a very interesting pathway where BrainChip could possibly integrate through Edge Impulse’s existing Akida support into the Arduino ecosystem via Qualcomm’s new edge AI stack. Or Qualcomm may encourage developer cross-pollination among its new assets (Arduino + Edge Impulse + Snapdragon Spaces, etc).
So while there’s still no direct BrainChip / Arduino partnership, the ecosystem connections have become much closer and potentially far more strategic.
At least that's what I'm hoping.
Link here #74,284
Let’s see where we end up on Friday… latest Monday… I think the shorter will take every cent no matter what…. I don’t trust that sh…
Pom down under
Top 20
2025 A.I. Awards Finalists | Cloud Computing & SaaS Awards
Bravo
If ARM was an arm, BRN would be its biceps💪!
Traditional LiDAR systems depend on the cloud, creating delays that limit how fast machines can respond. Akida PointNet++ brings AI processing directly to the edge, reducing latency by up to 80% and operating on just a few milliwatts of power.
This means faster perception, safer navigation, and smarter automation for vehicles, drones, robots, and intelligent infrastructure.
With Akida’s efficient on-chip design, devices can interpret complex 3D environments instantly without relying on cloud connectivity.
Learn how BrainChip’s Akida PointNet++ is shaping the future of spatial AI.
View attachment 91807
LiDAR Point Cloud_LP
Unleash Real-Time LiDAR Intelligence With On-Chip Point Cloud AI Accelerating LiDAR Point Cloud with BrainChip’s AkidaTM PointNet++ Model. Learn More About LiDAR Intelligence The Essential Role of LiDAR Point Cloud AI For next-generation robotics, automotive systems, and...
Quite the coincidence if you ask me.
I was just thinking that BrainChip’s new Akida PointNet++ may be the missing piece in that puzzle behind Qualcomm’s acquisition of Arduino, to accelerate its push into robotics and intelligent automation, as discussed a little earlier.
I don't believe that Qualcomm currently has any true equivalent to Akida PointNet++, especially when it comes to real-time, neuromorphic 3D point-cloud processing at the edge, which is a critical capability for next-generation robotics, drones, and autonomous systems.
By processing LiDAR and 3D spatial data directly at the edge, Akida PointNet++ delivers sub-10 ms spatial awareness while drawing only milliwatts of power, potentially giving Qualcomm exactly what its robotics roadmap needs - faster perception, longer battery life, and smarter autonomy.
Combined with Arduino + Edge Impulse (Qualcomm), this could finally democratize neuromorphic robotics, with Akida quietly powering the spatial intelligence beneath it all.
Here's hoping!
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smoothsailing18
Regular
AI Overview
Traditional LiDAR systems depend on the cloud, creating delays that limit how fast machines can respond. Akida PointNet++ brings AI processing directly to the edge, reducing latency by up to 80% and operating on just a few milliwatts of power.
This means faster perception, safer navigation, and smarter automation for vehicles, drones, robots, and intelligent infrastructure.
With Akida’s efficient on-chip design, devices can interpret complex 3D environments instantly without relying on cloud connectivity.
Learn how BrainChip’s Akida PointNet++ is shaping the future of spatial AI.
View attachment 91807
LiDAR Point Cloud_LP
Unleash Real-Time LiDAR Intelligence With On-Chip Point Cloud AI Accelerating LiDAR Point Cloud with BrainChip’s AkidaTM PointNet++ Model. Learn More About LiDAR Intelligence The Essential Role of LiDAR Point Cloud AI For next-generation robotics, automotive systems, and...
+1
Over 1.6 million LiDAR units were shipped globally in 2024, a figure that is expected to quadruple by 2030, driven primarily by increasing adoption in passenger cars. The market's massive growth is a clear indicator of the increasing demand for LiDAR technology across various sectors, including autonomous vehicles and advanced driver-assistance systems (ADAS).
Pom down under
Top 20
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